Oklahoma Data Partners
Data Recruiting

You Found the Right Data Hire. Half of Candidates Still Say No.

Hiring managers used to worry about finding the right data candidate. Now they find one, run a clean process, make a fair offer, and still lose. Candidates are not just comparing your offer to another offer. They are comparing it to staying where they are.

Don KarlosOctober 21, 20267 min read
A manager shaking hands with a colleague holding folders while another colleague looks on in a bright office.

Finding the candidate is only half the hire now

For years, the hard part of data hiring was the search. The pool was small, the skills were specific, and a hiring manager who found a qualified data engineer or analyst had usually done the difficult work. The offer was paperwork at the end of a process the employer controlled. That assumption no longer holds. In Gartner's latest research, released in June 2026 and based on a December 2025 survey of 3,072 employees, only 48 percent of job candidates accepted their most recent job offer. Two years earlier, in the fourth quarter of 2023, that figure was 85 percent. It fell to 54 percent in the fourth quarter of 2024, and then to 48 percent. Read that trend the way a hiring manager experiences it: a process that used to end in a yes most of the time now ends in a coin flip.

This is not a story about candidates holding out for bidding wars. Gartner's own explanation runs the other way. Thirty percent of employees said they would prefer to stay in their current job because of economic volatility, even if they received a better offer. The reluctance is strongest exactly where data hiring lives. Highly skilled employees are 39 percent more likely than less skilled employees to stay in their current role. Gartner also notes that organizations are hiring for a smaller set of roles that are critical and much harder to fill. Put those facts together and the picture for a data search is plain: fewer critical roles, filled from a pool of skilled people who are actively inclined not to move, at the moment your company needs the hire most.

Why strong candidates turn down good offers

Your real competitor is the current job

Most offer processes are built to beat other employers. The candidate is measured against the market, the salary is checked against a band, and the team assumes the decision is between your company and a rival. For a growing share of candidates, that is not the decision at all. The decision is between your company and a known job, a known manager, a known commute, and income that already pays the bills. Staying is the safe option, and in an uncertain economy, safe is a strong offer in itself. An employer who never addresses the risk of moving is not actually answering the question the candidate is asking. Gartner's Jamie Kohn puts the required change directly: leaders need higher touch engagement for critical roles, with a clear narrative on why changing jobs is worth the risk.

Pay opens the conversation, growth closes it

When candidates do move, the reasons are concrete. In Gartner's first quarter 2025 survey of nearly 3,000 candidates, 53 percent cited higher compensation as their main driver in accepting an offer, and 47 percent cited more opportunities for career growth, with work life balance close behind at 45 percent. The lesson is not that every offer needs to be the highest bid. It is that an offer which says nothing specific about growth gives the candidate only one number to weigh against the risk of moving, and one number is easy to decline. A credible account of what the person will own, what they will learn, and where the role leads is part of the offer, whether it appears in the letter or not.

A yes is not the same as a start

Even acceptance does not end the risk. In that same Gartner first quarter 2025 research, 35 percent of candidates backed out after accepting a job offer. The weeks between a signed offer and a first day are when a current employer makes its counteroffer, when doubts get a quiet hearing, and when silence from the new employer is read as indifference. The pressure runs both ways, which is why firms rush the close and then regret it. Robert Half's United States research on the cost of a bad hire reports that one in three managers has made a bad hire in the past two years, and three in five say a bad hire contributed to other employees leaving. A pressured yes from the wrong candidate is not a closed hire. It is the most expensive outcome in the process, paid for twice.

What serious firms do before and after the offer

The firms closing hard data hires in this market have changed when the selling happens and how honest it is. The work is not a better pitch at the end. It is a different process from the first conversation onward.

  1. 1Make the case for moving from the first interview, in specific terms: the problems this role owns, the systems it touches, and why the work matters now
  2. 2Put the pay range and the growth path on the table early, so the final offer confirms what the candidate already knows instead of surprising them
  3. 3Describe the hard parts of the job honestly, including the messy data and the lean team, because a candidate who accepts the real job stays in it
  4. 4Name one person as the candidate's contact from offer to first day, and keep a set check in rhythm during the notice period instead of going quiet
  5. 5Prepare the first two weeks before the start date: access, equipment, a named colleague, and real work that connects to the reasons the person accepted
  6. 6Keep your second choice warm with honest communication until the hire has started, so a late withdrawal is a setback and not a restart

Notice what this sequence assumes: the candidate is deciding the whole time, including after they have signed. That is not a weakness in the process. It is the process, in a market where the default choice for a skilled data professional is to stay where they are. Honesty does particular work here. A firm that oversells the role may win the acceptance and lose the person in the first quarter, when the real job appears. A firm that describes the role accurately may lose some candidates earlier, when losing them is cheap, and keep the ones who accept with their eyes open.

The test of a real yes

Before you send an offer, ask whether the candidate could explain, in their own words, why this move is worth the risk: what they will own, what they will learn, and what changes for them. If they cannot, the offer is going to a person who has not decided yet, no matter how well the interviews went.

What this means if you are hiring in Oklahoma

Oklahoma's data market makes the close matter more, not less. The pool of experienced data engineers, analysts, and database professionals here is smaller, which means the person you are trying to hire is usually employed, usually known to their current employer as valuable, and usually in no hurry. There is no deep bench of equivalent candidates waiting if the first choice declines in week six. A declined offer in Oklahoma does not return you to a shortlist. It returns you to the beginning of a search, with the vacancy older and the team covering the work longer. The advantage local firms hold is proximity and candor. A candidate can meet the actual team, see the actual systems, and hear a straight account of the role from people who do it. Used deliberately, that honesty is a closing tool the national remote competitors cannot easily match.

At Oklahoma Data Partners, our recruiting work covers the whole hire, not just the search. We are data practitioners, so we help employers define the role in terms a strong candidate can evaluate, verify skills with real work, and carry the conversation through the offer and the first day with the candor this market now requires. If you have found data candidates and lost them at the offer, or you are about to open a search you cannot afford to run twice, book a consultation and we will walk through exactly where your process is likely to lose the hire.

Key takeaway

Only 48 percent of candidates accepted their most recent offer in Gartner's December 2025 survey, down from 85 percent two years earlier, and highly skilled employees are the most likely to stay put, so closing a data hire now means making an honest case for moving and managing the offer through the first day.

Frequently asked questions

Ready to get started?

Losing data candidates at the offer stage? Book a consultation with Oklahoma Data Partners and find out where your close is breaking down.

Share this article:Share on XShare on LinkedIn

Don Karlos

Founder, Oklahoma Data Partners

Don Karlos is a senior data engineer and database specialist who founded Oklahoma Data Partners to give Oklahoma organizations one partner for understanding their data (analytics, dashboards, data engineering) and for hiring the data people behind it. Oklahoma Data Partners is an Oklahoma-based, data-only firm with two equal pillars: data consulting and data talent recruiting. We help organizations stabilize critical databases, build reliable data pipelines, design scalable data architecture, and turn raw information into trusted business intelligence — and we help Oklahoma companies hire the permanent data professionals who keep those systems running.

About Oklahoma Data Partners

Data consulting & data talent recruiting · Clean. Structured. Reliable.

Follow Oklahoma Data Partners

Follow Oklahoma Data Partners on X and LinkedIn for practical data insights, SQL tips, analytics best practices, and database consulting guidance.

Data insights, occasionally

Practical notes on database health, data pipelines, and analytics — sent only when we have something genuinely useful to share. No noise.